A Coding Implementation on Qwen 3.6-35B-A3B Covering Multimodal Inference, Thinking Control, Tool Calling, MoE Routing, RAG, and Session Persistence

MarkTechPost / 4/21/2026

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Key Points

  • The tutorial walks through an end-to-end coding implementation using Qwen 3.6-35B-A3B for multimodal inference in a practical workflow.
  • It covers environment setup, adaptive model loading based on available GPU memory, and building a reusable chat framework.
  • The implementation demonstrates explicit “thinking” control alongside standard response generation.
  • It includes tool calling, MoE routing behavior, and an integrated RAG approach for retrieval-augmented responses.
  • The framework also supports session persistence to maintain continuity across interactions.

In this tutorial, we build an end-to-end implementation around Qwen 3.6-35B-A3B and explore how a modern multimodal MoE model can be used in practical workflows. We begin by setting up the environment, loading the model adaptively based on available GPU memory, and creating a reusable chat framework that supports both standard responses and explicit thinking […]

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